Update mcp/embeddings.py

mcp/embeddings.py

@@ -1,4 +1,4 @@
-# ── mcp/embeddings.py ───────────────────────────────────────────────────
+ ── mcp/embeddings.py ───────────────────────────────────────────────────
 import os, asyncio
 from huggingface_hub import InferenceClient
 from sklearn.cluster import KMeans
@@ -24,23 +24,3 @@ async def cluster_embeddings(embs: list[list[float]], n_clusters: int = 5) -> li
     """
     kmeans = KMeans(n_clusters=n_clusters, random_state=0)
     return kmeans.fit_predict(embs).tolist()
-
-
-# ── mcp/protocols.py ───────────────────────────────────────────────────
-import asyncio
-from mcp.openai_utils import ai_qa
-from mcp.gemini import gemini_qa
-
-async def draft_protocol(question: str, context: str, llm: str = "openai") -> str:
-    """
-    Draft a detailed experimental protocol for a given hypothesis/question.
-    """
-    if llm.lower() == "gemini":
-        qa_fn = gemini_qa
-    else:
-        qa_fn = ai_qa
-    prompt = (
-        "You are a senior researcher. Draft a step-by-step experimental protocol to test: "
-        f"{question}\nContext:\n{context}\nInclude materials, methods, controls, expected outcomes."
-    )
-    return await qa_fn(prompt)